Tahir Mohammad
PhD, MSc, B.Tech, Senior Member IEEE
tahir.mohammad@utu.fi Työhuone: 454C ORCID-tunniste: https://orcid.org/0000-0002-6273-4603 |
Resource allocation and management in wireless networks, Internet of Things, Cybersecurity, 5G/6G cellular networks, Game Theory for wireless networks.
Communication and Cyber Security Engineering Lab (https://sites.utu.fi/cyber/?lang=en)
Mohammed Tahir received PhD in Engineering in 2016 from the International Islamic University Malaysia where his research focused on game-theoretic modelling for improving spectrum sensing and network throughput in cognitive radio networks. He completed his Master's degree in Communication Engineering from International Islamic University Malaysia in 2011 working on the physical layer security for wireless networks. Before joining the University of Turku, Mohammad Tahir worked as a Senior Lecturer and Program Leader at Sunway University Malaysia where he managed the dual degree program of BSc in Computer Networking and Security offered in partnership with Lancaster University UK, and successfully led several funded research projects.
Prior to joining academia, Mohammad Tahir worked for government-funded R&D companies in Malaysia (MIMOS, TM R&D). His work included designing and implementing proof-of-concept using software-defined radios for efficient spectrum utilization and architecting and implementing IoT based vertical solutions. While he was in the industry, he co-authored two patents on wireless communication and two on IoT. He has also worked in start-ups implementing IoT middleware and smart tracking solutions. He has good experience in providing consultancy services, developing educational materials, and delivering industrial training on IoT. His research interests include 5G/6G networks, the Internet of Things, cybersecurity, game theory and applied machine learning for wireless networks and the application of blockchain for IoT and wireless networks.
My research spans the physical, MAC, and network layers of the OSI model focusing on designing and developing smart, secure, and self-organizing systems that apply to wireless networks and IoT. Smart cities, for example, need to integrate cyber-physical critical infrastructure (e.g. smart grids, water networks) and wireless systems. Developing resilient and secure processes for managing various smart city components requires multiple components to adaptively and optimally manage resources (power, spectrum, QoS etc.) to operate efficiently and recover quickly in case of failure. I am exploring various techniques, such as machine learning, optimization techniques, Blockchain and game theory to develop appropriate solutions.
If you would like to work/collaborate in a related area, contact me at tahir.mohammad@utu.fi
Currently, I am teaching Communication Technologies and Security in IoT. I have mostly taught cybersecurity-related courses, including network security, wireless security and ethical hacking.
- Enhancing Explainability of Artificial Intelligence for Threat Detection in SDN-based Multicast Systems (2025)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Experimental Implementation of a Low Cost Real-Time Threat Intelligence Solution for Smart Home Security (2025)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - LLM-Assisted Qualitative Data Analysis: Security and Privacy Concerns in Gamified Workforce Studies (2025)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 6G and intelligent healthcare: Taxonomy, technologies, open issues and future research directions (2024)
- Internet of things
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - A Cloud-based Secure Architecture for Remote Patient Monitoring Integrating OPC UA and Human Digital Twin (2024)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Fuzz Testing Approach for Embedded Avionic Software (2024)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Analyzing the Correlation Between Employee Security Awareness and Cyberattack Vulnerability: A Quantitative Study (2024)
- Lecture notes in networks and systems
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - An Optimization on 2D-SLAM Map Construction Algorithm Based on LiDAR (2024)
- Journal of Intelligent and Robotic Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Application of Machine Learning Algorithms for Predicting Employee Attrition (2024) 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS) Dabbagh, Mohammad; Saleem, Kashif; Al-Jumaily, Adel; Tahir, Mohammad; Amphawan, Angela
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Dataset for authentication and authorization using physical layer properties in indoor environment (2024)
- Data in Brief
(A1 Vertaisarvioitu data-artikkeli tieteellisessä lehdessä) - Resource Consumption Analysis of Distributed Machine Learning for the Security of Future Networks (2024)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Trust-Aware Authentication and Authorization for IoT: A Federated Machine Learning Approach (2024)
- IEEE Internet of Things Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A Comprehensive review on 5G-based Smart Healthcare Network Security: Taxonomy, Issues, Solutions and Future research directions (2023)
- Array
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Analysing role of airborne particulate matter in abetting SARS-CoV-2 outbreak for scheming regional pandemic regulatory modalities (2023)
- Environmental Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Energy-efficient joint resource allocation in 5G HetNet using Multi-Agent Parameterized Deep Reinforcement learning (2023)
- Physical Communication
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Energy Efficient joint user association and power allocation using Parameterized Deep DQN (2023)
- International Conference on Computer and Communication Engineering
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Perspective—6G and IoT for Intelligent Healthcare: Challenges and Future Research Directions (2023)
- ECS Sensors Plus
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - The role of artificial intelligence in solar harvesting, storage, and conversion (2023) Solar Energy Harvesting, Conversion, and Storage: Materials, Technologies, and Applications Jafri Nida, Tahir Mohammad, Ahad Abdul
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Toward Autonomic Internet of Things: Recent Advances, Evaluation Criteria, and Future Research Directions (2023)
- IEEE Internet of Things Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Floating Fog: extending fog computing to vast waters for aerial users (2022)
- Cluster Computing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )